Pfizer tested all participants in their Phase 3 trial for N-antibodies. The results were kept hidden from the public. It was only through court order that we finally know what the results were.
Do you think they would have kept this data secret from the public if it showed good news? Heck no!
The table showed that Pfizer only had around 50% protection if you just take the table at face value. But if you interpret the table correctly, it shows Pfizer had negative efficacy.
In this article, I’ll show you how to properly interpret that data and get the truth.
The method was first disclosed by Jikkyleaks on May 24, 2022.
I recently became aware of it after independently replicating his work. I believe his numbers are slightly off, so I’ll show you the proper calculation for the correct estimate of the case counts.
No doubt about it; those who took the shots were more likely to be infected by COVID by 8.7%.
There is just no other way to interpret the Pfizer data. It’s “gold standard” clinical trial data.
The overall counts are too small for the result to be statistically significant. But the FDA should NEVER be approving a vaccine where the primary endpoint efficacy (reducing cases vs. the unvaccinated group) is so small to be statistically insignificant.
In plain English, the best estimates are that there were actually more infections in the vaccine group than the placebo group. Whoops!
This is a major failing of the FDA to recognize this.
It won’t be long before Senator Ron Johnson brings this to their attention.
Hellbound and Down 